Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of human healthy monozygotic twins vs unrelated individuals to understand the genetic basis of variation in gene expression between normal human individuals


ABSTRACT: Natural variation in gene expression among healthy human individuals has been largely unexplored. In order to understand the genetic basis of variation in gene expression between normal human individuals, we need to obtain genome-wide expression data from various populations. Studies in monozygotic twins could enable us to estimate the size of the contribution of genetic and environmental factors to the natural variation in gene expression. In this work, we report the gene expression analysis of 5 pairs of monozygotic twins and 3 unrelated individuals; Normal healthy twin pairs were recruited for the study. Three more normal individuals including two females and one male were recruited. First, labeled products were hybridized with the Affymetrix GeneChip Test3 arrays. If the results were judged satisfactory, hybridization was subsequently carried out with the HG U95A arrays as per manufacturer's instructions. Arrays were hybridized at 45°C for 16 hours. The array was then washed using an automated Gene Chip Fluidics Station 400. After washing, the array was stained with streptavidin-phycoerythrin and scanned with a HP Gene Array Scanner. The data was analyzed using Gene Chip Software for expression analysis (MAS 5). All Gene Chip experiments were performed at the Weizmann Institute of Science, Rehovot, Israel. Following comparisons were carried out.

ORGANISM(S): Homo sapiens

SUBMITTER: Srinivasan Ramachandran 

PROVIDER: E-GEOD-928 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Assessing natural variations in gene expression in humans by comparing with monozygotic twins using microarrays.

Sharma Anu A   Sharma Vineet K VK   Horn-Saban Shirley S   Lancet Doron D   Ramachandran Srinivasan S   Brahmachari Samir K SK  

Physiological genomics 20050111 1


Quantitative variation in gene expression in humans is the outcome of various factors, including differences in genetic background, gender, age, and environment. However, the extent of the influence of these factors on gene expression is not clear. We attempted to address this issue by carrying out gene expression profiling in blood leukocytes with 13 individuals (including 5 pairs of monozygotic twins) on 10,000 genes using HG-U95Av2 oligonucleotide microarrays. The proportion of differentially  ...[more]

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